What is a dataset?

A dataset is fundamentally understood as a collection of data that is typically organized in a structured format, which makes it suitable for analysis and manipulation. This structure can often take the form of a table, where rows represent individual records and columns represent different attributes or features of the data. The organization of data within a dataset facilitates easier access, processing, and analysis, allowing data scientists and analysts to extract meaningful insights and information effectively.

In contrast, the other choices refer to different concepts. The method of data transformation encompasses techniques and processes used to convert data from one format or structure to another, rather than being a collection itself. Data analysis techniques are methodologies that are utilized to interpret, summarize, and derive conclusions from datasets, rather than defining what a dataset is. Algorithms used in machine learning are specific computational procedures designed for predicting outcomes based on data, which again does not directly relate to the fundamental definition of a dataset.